Authors : Young-Hyun Baek and Byunggeun Kim
Abstract: The most common sensor technology which is currently used in fingerprint recognition is the optical technology. The optical-type sensor is available for the unspecified number (1:N) and is capable of obtaining the durability and high fingerprint image quality. In this study, we are willing to improve the problem of optical sensor which is hard to extract the fingerprint minutiae via. binarization and to extract the difference between the ridge and valley of fingerprint when there is a lot of water or sweat on the fingerprint surface. Therefore, the structure of the prism was designed to distinguish between sweat and water and SF4 material with a small influence of refractive index was applied. In addition, spherical lenses G1 and G2 were designed and implemented to correct trapezoidal distortion and reduce cost. To demonstrate the superiority of the study results, we compared the image quality map of NIST and the minutiae distribution using fingerprint recognition technology. The result shows the proposed sensor has the high NFIQ quality score in all normal and wet fingerprint.
Young-Hyun Baek and Byunggeun Kim, 2017. The Fingerprint Capture Method Based on Waterproof Optical Design for Fingerprint Analysis and Enhanced Fingerprint Recognition Technology. Journal of Engineering and Applied Sciences, 12: 9540-9547.